Hadoop++ making a yellow elephant run like a cheetah (without it even noticing) J Dittrich, JA Quiané-Ruiz, A Jindal, Y Kargin, V Setty, J Schad Proceedings of the VLDB Endowment 3 (1-2), 515-529, 2010 | 589 | 2010 |
Bigdansing: A system for big data cleansing Z Khayyat, IF Ilyas, A Jindal, S Madden, M Ouzzani, P Papotti, ... Proceedings of the 2015 ACM SIGMOD international conference on management of …, 2015 | 273 | 2015 |
Only aggressive elephants are fast elephants J Dittrich, JA Quiané-Ruiz, S Richter, S Schuh, A Jindal, J Schad arXiv preprint arXiv:1208.0287, 2012 | 163 | 2012 |
Trojan data layouts: right shoes for a running elephant A Jindal, JA Quiané-Ruiz, J Dittrich Proceedings of the 2nd ACM Symposium on Cloud Computing, 1-14, 2011 | 145 | 2011 |
Performance and resource modeling in highly-concurrent OLTP workloads B Mozafari, C Curino, A Jindal, S Madden Proceedings of the 2013 acm sigmod international conference on management of …, 2013 | 130 | 2013 |
Graphframes: an integrated api for mixing graph and relational queries A Dave, A Jindal, LE Li, R Xin, J Gonzalez, M Zaharia Proceedings of the fourth international workshop on graph data management …, 2016 | 121 | 2016 |
Selecting subexpressions to materialize at datacenter scale A Jindal, K Karanasos, S Rao, H Patel Proceedings of the VLDB Endowment 11 (7), 800-812, 2018 | 117 | 2018 |
The uncracked pieces in database cracking FM Schuhknecht, A Jindal, J Dittrich Proceedings of the VLDB Endowment 7 (2), 97-108, 2013 | 96 | 2013 |
A METHOD OF STORING AND ACCESSING DATA IN A DATABASE SYSTEM J DITTRICH, A JINDAL, UDES SAARLANDES, DITTRICH, Jens, JINDAL, ... WO Patent 2,012,032,184, 2012 | 92 | 2012 |
Relax and Let the Database do the Partitioning Online A Jindal, J Dittrich Technical Report, Saarland University, 2011 | 89 | 2011 |
Towards a One Size Fits All Database Architecture. J Dittrich, A Jindal CIDR, 195-198, 2011 | 87 | 2011 |
Vertexica: your relational friend for graph analytics! A Jindal, P Rawlani, E Wu, S Madden, A Deshpande, M Stonebraker Association for Computing Machinery (ACM), 2014 | 85 | 2014 |
Cost models for big data query processing: Learning, retrofitting, and our findings T Siddiqui, A Jindal, S Qiao, H Patel, W Le Proceedings of the 2020 ACM SIGMOD International Conference on Management of …, 2020 | 80 | 2020 |
Computation reuse in analytics job service at microsoft A Jindal, S Qiao, H Patel, Z Yin, J Di, M Bag, M Friedman, Y Lin, ... Proceedings of the 2018 International Conference on Management of Data, 191-203, 2018 | 72 | 2018 |
AdaptDB: adaptive partitioning for distributed joins Y Lu Massachusetts Institute of Technology, 2017 | 70 | 2017 |
Graph Analytics using the Vertica Relational Database A Jindal, S Madden, M Castellanos, M Hsu http://arxiv.org/abs/1412.5263, 2014 | 63 | 2014 |
Wangchao Le, Shi Qiao, and Sriram Rao. 2018. Towards a learning optimizer for shared clouds C Wu, A Jindal, S Amizadeh, H Patel Proceedings of the VLDB Endowment 12 (3), 210-222, 2018 | 59 | 2018 |
Towards a learning optimizer for shared clouds C Wu, A Jindal, S Amizadeh, H Patel, W Le, S Qiao, S Rao Proceedings of the VLDB Endowment 12 (3), 210-222, 2018 | 58 | 2018 |
A robust partitioning scheme for ad-hoc query workloads A Shanbhag, A Jindal, S Madden, J Quiane, AJ Elmore Proceedings of the 2017 symposium on Cloud Computing, 229-241, 2017 | 43 | 2017 |
Steering query optimizers: A practical take on big data workloads P Negi, M Interlandi, R Marcus, M Alizadeh, T Kraska, M Friedman, ... Proceedings of the 2021 International Conference on Management of Data, 2557 …, 2021 | 37 | 2021 |